AI-powered workplace operations
A privacy-focused personal assistant that helps organize meetings, timesheet updates, and follow-up reminders into a simple daily routine, all delivered privately in each user's Slack chat.
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Product & platform
Product & platform
Cadence Privacy-First Workflow Assistant
A privacy-focused personal assistant that helps organize meetings, timesheet updates, and follow-up reminders into a simple daily routine, all delivered privately in each user's Slack chat.
Product & PlatformProject visual
The information needed for a productive workday is spread across calendars, time trackers, email, and Slack. Combining these could easily create another cluttered dashboard or even feel like surveillance. The product had to be helpful for each person while making sure identity, consent, and privacy boundaries were always clear.
BlueInGreen built Cadence as a consent-first product, creating an event-driven cloud system, individual user identity setup, clear provider boundaries, private delivery controls, rollout protections, and an onboarding process ready for launch.
Next.jsTypeScriptGoogle Cloud RunCloud TasksFirestoreSlackOAuthTerraform
What we delivered
- Product strategy and privacy-first experience architecture
- Google and Slack identity, consent, and same-user delivery boundaries
- Event-driven briefing orchestration across Cloud Run, Scheduler, and Cloud Tasks
- Encrypted provider-token and least-privilege access patterns
- Pilot onboarding, settings, observability, and infrastructure-as-code
Operational impact
- Turned fragmented work signals into one private personal operating rhythm
- Made user consent and feature-level connection state visible and reversible
- Separated helpful personal automation from employee monitoring by design
- Created a controlled foundation for staged rollout and additional workflow signals
4workflow signal types in the product model
Same-userprivate insight delivery boundary
Zeroraw message bodies designed for persistence
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